干旱区生态环境知识资源中心(Arid): Optimization of water and land allocation in salinity and deficit-irrigation conditions at farm level in Qazvin plain

Arid

DOI	10.1371/journal.pone.0269663
	Optimization of water and land allocation in salinity and deficit-irrigation conditions at farm level in Qazvin plain
	Bulukazari, Sara; Babazadeh, Hossein; Ebrahimipak, Niazali; Mousavi-Jahromi, Seyed-Habib; Etedali, Hadi Ramezani
通讯作者	Babazadeh, H
来源期刊	PLOS ONE
ISSN	1932-6203
出版年	2022
卷号	17 期号:7
英文摘要	Improper extraction of water from resources especially in arid and semi-arid regions leads to a decrease in the quality of water and soil resources. In such areas, management activities such as increasing water productivity in agricultural sector would be a key step towards sustainable development. Therefore, water resources management to improve the allocation of limited water supplies is essential. In this study, a non-linear programming optimization model have been combined with a AquaCrop model to determine the optimal water and land allocation considering the quality issues of both water and soil resources with focusing on enhancing agriculture water productivity. For this purpose, the spatial variations of chemical and physical properties of soil in the Qazvin plain were taken into account. The soil of study site was divided into three salinity classes, and three weather conditions were identified by Standardized Precipitation Index (SPI). Moreover, five irrigation strategies were modeled under each weather condition. To understand the response of major crops under cultivation to water and salinity, the AquaCrop model was calibrated and validated (2005-2020) and utilized in the objective function. Accordingly, the production functions of the different products were obtained, and the cultivation area as well as amount of water consumption of the crops were optimized by using the target functions of maximum net income and maximum water use efficiency. The results showed that the model is capable of simulating crop yield in salinity and water deficit conditions. The coefficient of determination (R-2) for barley, wheat and maize was equal to 0.86, 0.92, and 0.96, respectively. Findings reveal that total irrigation water could be reduced by 20% on average without profit reduction when compared to the profit of the present situation. Total economic profit could be increased by 18% on average through the optimization of water allocation and cropping pattern with the same water supply amount as that of the current situation. Also, the water productivity increased between 12 to 30% under these conditions. Therefore, the proposed model can efficiently optimize the amount of irrigation water and cultivation area on a regional scale considering salinity conditions.
类型	Article
语种	英语
开放获取类型	Green Published, gold
收录类别	SCI-E
WOS记录号	WOS:000844536800036
WOS关键词	YIELD RESPONSE ; SOIL-SALINITY ; AQUACROP MODEL ; ECONOMIC-MODEL ; USE EFFICIENCY ; CROP MODEL ; SIMULATION ; MAIZE ; WHEAT ; PRODUCTIVITY
WOS类目	Multidisciplinary Sciences
WOS研究方向	Science & Technology - Other Topics
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/394032
推荐引用方式 GB/T 7714	Bulukazari, Sara,Babazadeh, Hossein,Ebrahimipak, Niazali,et al. Optimization of water and land allocation in salinity and deficit-irrigation conditions at farm level in Qazvin plain[J],2022,17(7).
APA	Bulukazari, Sara,Babazadeh, Hossein,Ebrahimipak, Niazali,Mousavi-Jahromi, Seyed-Habib,&Etedali, Hadi Ramezani.(2022).Optimization of water and land allocation in salinity and deficit-irrigation conditions at farm level in Qazvin plain.PLOS ONE,17(7).
MLA	Bulukazari, Sara,et al."Optimization of water and land allocation in salinity and deficit-irrigation conditions at farm level in Qazvin plain".PLOS ONE 17.7(2022).